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This paper focuses on the design of semi-autonomous agricultural mobile robot. It is able to perform efficient ploughing and spraying water or fertilizer function. The uttermost tedious tasks to perform in the indoor agriculture field are ploughing operation and also spraying water or fertilizing above on crops. Ploughing is the first step in farming. By ploughing it means a plough tool will be utilized which will have spikes like structure at the end and it will be able to turn the upper layer of soil down. Another crucial feature of this semi-autonomous agricultural mobile robot is storing-bin, which is used to store water or fertilizer while on spraying above crops. This semi-autonomous agricultural mobile robot is utilized to monitor and control through a developed app with IOT included. Due to this user was able to easily navigate this agricultural mobile robot and also monitor data like water or fertilizer range. [ABSTRACT FROM AUTHOR]

This paper presents a new machine vision based technique for self-navigation of agricultural mobile robots in the agriculture field. The proposed method for staunch detection of incessant crop rows based on mask region based enhanced self-navigation technique. It utilizes a camera module to self-navigate this mobile robot in a structured agricultural field by following incessant crop rows. First, a camera was fixed in the proper location of the mobile robot to obtain optimized navigation orientation. Second, enhanced image processing techniques were utilized to acquire optimized navigation base lines. Finally, an optimized navigation base line was extracted from the mask region based enhanced self-navigation technique. This self-navigation technique was utilized to perform operations like spraying water, fertilizing, weeding etc. The proposed technique requires 160ms to detect the masked area of crop rows. Experimented results shows, this technique can instantly and preciously find the incessant crop rows even under various light conditions. [ABSTRACT FROM AUTHOR]